GokuMohandas/Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
This resource teaches developers how to build and maintain machine learning applications that work reliably in real-world scenarios. It guides you through the entire process, from initial design and development to deploying and continuously improving ML models. If you are a software engineer, data scientist, or tech leader, you will learn to transform experimental ML models into stable, production-grade systems.
46,718 stars.
Use this if you need to learn the practical skills and best practices for developing and deploying robust machine learning systems that integrate smoothly into existing software workflows.
Not ideal if you are looking for an introduction to the theoretical concepts of machine learning or a deep dive into specific ML algorithms.
Stars
46,718
Forks
7,320
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 04, 2026
Commits (30d)
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